Lab03

# R Programming (EDA)
# Adapted from Stackoverflow examples
install.packages("plotly")

## Installing package into '/home/rstudio-user/R/x86_64-pc-linux-gnu-library/4.0'
## (as 'lib' is unspecified)

library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

data(iris)
attach(iris)

# Generate plot on three quantitative variables
iris_plot <- plot_ly(iris, 
                     x = Sepal.Length, 
                     y = Sepal.Width, 
                     z = Petal.Length, 
                     type = "scatter3d", 
                     mode = "markers",
                     size = 0.02)
iris_plot

# Regression object

petal_lm <- lm(Petal.Length ~ 0 + Sepal.Length + Sepal.Width, 
               data = iris)
install.packages("reshape2")

## Installing package into '/home/rstudio-user/R/x86_64-pc-linux-gnu-library/4.0'
## (as 'lib' is unspecified)

library(reshape2)

#load data

petal_lm <- lm(Petal.Length ~ 0 + Sepal.Length + Sepal.Width,data = iris)

# Setting resolution parameter
graph_reso <- 0.05

#Setup Axis
axis_x <- seq(min(iris$Sepal.Length), max(iris$Sepal.Length), by = graph_reso)
axis_y <- seq(min(iris$Sepal.Width), max(iris$Sepal.Width), by = graph_reso)

# Regression surface
# Rearranging data for plotting
petal_lm_surface <- expand.grid(Sepal.Length = axis_x,Sepal.Width = axis_y,KEEP.OUT.ATTRS = F)
petal_lm_surface$Petal.Length <- predict.lm(petal_lm, newdata = petal_lm_surface)
petal_lm_surface <- acast(petal_lm_surface, Sepal.Width ~ Sepal.Length, value.var = "Petal.Length") 
hcolors=c("orange","blue","green")[iris$Species]
iris_plot <- plot_ly(iris, 
                     x = ~Sepal.Length, 
                     y = ~Sepal.Width, 
                     z = ~Petal.Length,
                     text = Species, 
                     type = "scatter3d", 
                     mode = "markers",
                     marker = list(color = hcolors),
                     size=0.02)

# Add surface
iris_plot <- add_trace(p = iris_plot,
                       z = petal_lm_surface,
                       x = axis_x,
                       y = axis_y,
                       type = "surface",mode = "markers",
                       marker = list(color = hcolors))
iris_plot

## Warning: 'surface' objects don't have these attributes: 'mode', 'marker'
## Valid attributes include:
## 'type', 'visible', 'legendgroup', 'name', 'uid', 'ids', 'customdata', 'meta', 'hoverlabel', 'stream', 'uirevision', 'z', 'x', 'y', 'text', 'hovertext', 'hovertemplate', 'connectgaps', 'surfacecolor', 'cauto', 'cmin', 'cmax', 'cmid', 'colorscale', 'autocolorscale', 'reversescale', 'showscale', 'colorbar', 'coloraxis', 'contours', 'hidesurface', 'lightposition', 'lighting', 'opacity', 'opacityscale', '_deprecated', 'hoverinfo', 'showlegend', 'xcalendar', 'ycalendar', 'zcalendar', 'scene', 'idssrc', 'customdatasrc', 'metasrc', 'zsrc', 'xsrc', 'ysrc', 'textsrc', 'hovertextsrc', 'hovertemplatesrc', 'surfacecolorsrc', 'hoverinfosrc', 'key', 'set', 'frame', 'transforms', '_isNestedKey', '_isSimpleKey', '_isGraticule', '_bbox'